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Neuroscience Engineering Jobs in Michigan (NOW HIRING)

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Bachelor's degree in computer science, Engineering or related discipline with a minimum of (two) 2 ...

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Bachelor's degree in computer science, Engineering or related discipline with a minimum of (two) 2 ...

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Neuroscience Engineering information

See Michigan salary details

$30.5K

$81K

$150.8K

How much do neuroscience engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for neuroscience engineering in Michigan is $81,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $99,400.00 per year, depending on experience, location, and employer.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in Michigan?

For Neuroscience Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in Michigan look for?

The top searched job categories for Neuroscience Engineering jobs in Michigan are:

Infographic showing various Neuroscience Engineering job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $81,020 per year, or $39 per hour.

Tenure Track Faculty - Neuroscience 2025-2026

Michigan Medicine

Ann Arbor, MI • On-site

Full-time

Re-posted 13 days ago


Michigan Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

261st of 1,061 rated hospitals


Job description

Description
The Michigan Neuroscience Institute (MNI) at the University of Michigan invites applications for tenure-track faculty positions at the Assistant Professor rank, but applicants at other ranks will be considered. We seek outstanding neuroscientists who apply genome- or brain-wide experimental and/or computational methods to address the complexity of the brain at high spatial or temporal resolution in any model system. We are especially interested in those developing or apply artificial intelligence and/or experimentally addressing human brain function or disease. Depending on scientific focus, the successful candidate's research program may be housed within the NeuroInnovation Center at the North Campus Research Complex or within other research units on the U-M campus.
The Michigan Neuroscience Institute is a newly expanded cross-campus institute that catalyzes interdisciplinary neuroscience research across 159 labs, 30 departments and 6 schools at the University of Michigan. Our mission is to leverage advances across all fields of science and engineering to solve the mysteries of the brain and to apply those discoveries to advance human health. MNI (https://medicine.umich.edu/dept/michigan-neuroscience-institute) is in Ann Arbor, Michigan, a city consistently ranked among the best places to live in the United States.
Qualifications
Applicants must have a PhD and/or MD degree and a strong record of research accomplishment.
Application Instructions
Applicants should submit a cover letter with names and contacts of three references, a full CV, a research statement (3 pages) describing past, current and future research plans, highlighting potential collaborations within the MNI. Teaching commitments will depend on the academic home department.
All application materials should be submitted electronically to: https://apply.interfolio.com/172094. Please direct any questions to MNI.Neuroscience.Applications@umich.edu. Applications received before November 1, 2025, will receive fullest consideration.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

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